Statistical models called hidden Markov models are a recurring theme in computational biology. What are hidden Markov models, and why are they so useful for so many different problems?

We provide an analytical tool, variational Bayes SPT (vbSPT), based on a variational Bayesian treatment of a hidden Markov model (HMM) 5,6 that describes diffusing particles making memoryless jumps ...

Drought is a naturally occurring climate phenomenon that significantly affects human and environmental activity, and can be considered one of the most widespread and destructive natural disasters.

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 51, No. 1 (2002), pp. 31-40 (10 pages) The paper demonstrates the use of functions provided by EXCEL for simulation of two ...

C. Bracken, B. Rajagopalan, & E. Zagona (2014). “A Hidden Markov Model Combined with Climate Indices for Multi-decadal Streamflow Simulation,” Water Resources Research, 50, 7836-7846. Abstract: ...